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As observed, the unknown parameter s is inside the kernel function of the integral equations.
The kernel function of the CF fractional derivative is an exponential function.
We select the Gaussian kernel as the kernel function of the SVR.
The kernel function of the multispectral spatial convolution equation is solved by the least squares method.
The choice of the kernel function of the algorithm fell on Radial Basis Function (RBF), as shown in previous experiment on the same chemical set [20].
We derive the kernel function of the ST-spectrogram that can be used to investigate the characteristics of ST-based time-varying spectra in a simple way.
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The Kernel function of this model is RBF, and the parameter of this Kernel function is ϒ = 5.
The kernel functions of the SVM mainly include a local kernel function and a global kernel function.
The kernel functions of the real-valued TFRs such as the Wigner-Ville distribution and the spectrogram have conjugate symmetry (16).
We show that the intimate connection between the Cohen's class-based spectra and the evolutionary spectra defined on the locally stationary time series can be linked by the kernel functions of the Cohen's class distributions.
In our experiments, the kernel function of SVR is the Gaussian kernel function.
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